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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
01/02/2022 |
Actualizado : |
01/02/2022 |
Autor : |
LAMBE, N.R.; ROSS, D.W.; NAVAJAS, E.; HYSLOP, J.J.; PRIETO, N.; CRAIGIE, C.; BÜNGER, L.; SIMM, G.; ROEHE, R. |
Afiliación : |
N.R. LAMBE, Sustainable Livestock Systems Group, Scottish Agricultural College, King's Buildings, Edinburgh, EH9 3JG, UK; D.W. ROSS, Sustainable Livestock Systems Group, Scottish Agricultural College, King's Buildings, Edinburgh, EH9 3JG, UK; ELLY ANA NAVAJAS VALENTINI, Sustainable Livestock Systems Group, Scottish Agricultural College, King's Buildings, Edinburgh, EH9 3JG, UK; J.J. HYSLOP, Beef and Sheep Select, Scottish Agricultural College, King's Buildings, Edinburgh, EH9 3JG, UK; N. PRIETO, Sustainable Livestock Systems Group, Scottish Agricultural College, King's Buildings, Edinburgh, EH9 3JG, UK; C. CRAIGIE, Sustainable Livestock Systems Group, Scottish Agricultural College, King's Buildings, Edinburgh, EH9 3JG, UK; L. BÜNGER, Sustainable Livestock Systems Group, Scottish Agricultural College, King's Buildings, Edinburgh, EH9 3JG, UK; G. SIMM, Sustainable Livestock Systems Group, Scottish Agricultural College, King's Buildings, Edinburgh, EH9 3JG, UK; R. ROEHE, Sustainable Livestock Systems Group, Scottish Agricultural College, King's Buildings, Edinburgh, EH9 3JG, UK. |
Título : |
The prediction of carcass composition and tissue distribution in beef cattle using ultrasound scanning at the start and/or end of the finishing period. |
Fecha de publicación : |
2010 |
Fuente / Imprenta : |
Livestock Science, 2010, Volume 131, Issue 2-3, Pages 193-202. OPEN ACCESS. doi: http://dx.doi.org/10.1016/j.livsci.2010.03.019 |
ISSN : |
1871-1413 |
DOI : |
10.1016/j.livsci.2010.03.019 |
Idioma : |
Inglés |
Notas : |
Article history: Received 4 September 2009; Received in revised form 26 March 2010; Accepted 31 March 2010. |
Contenido : |
ABSTRACT.- Ultrasound tissue depths, similar to those measured commercially as part of UK beef genetic evaluation schemes, were measured on 52 crossbred steers and 10 heifers at the start and end of the finishing period (average age 476 and 568 days, respectively). Animals were slaughtered at commercial target weights and carcass grades, and one carcass side fully dissected. Combining live weights and ultrasound tissue depths measured both before and after finishing provided the best predictions of carcass composition. Dissected fat weights and proportions in the carcass side, the forequarter and the hindquarter were predicted with high accuracy (R2~0.8),muscle weights with moderate accuracy (R2=0.5-0.6), but muscle proportions were less accurately predicted (R2=0.23-0.49). Meat and Livestock Commission (EUROP) carcass conformation and fatness classes could also be predicted with moderate accuracy (R2=0.4 and 0.6, respectively). Fat and muscle weights in each quarter expressed as proportions of the total weight of that tissue in the carcass sidewere not predicted accurately (R2<0.4). Liveweight and ultrasound datameasured only at the start of finishing also gave good predictions of fat proportions in the carcass side and quarters (R2=0.64-0.67), andmoderate predictions of fat and muscle weights and fatness class (R2=0.38- 0.53), but lowprediction accuracies formuscle proportions and conformation classes. In comparison, liveweights and tissue depthsmeasured only at the end of finishing explained 12 to 19%more of the variation in fat weights and fatness class, but predicted muscle weight, conformation class and fat proportions with similar accuracies andmuscle proportions with similar or less accuracy. Including ultrasound fat depths, alongside muscle depth and live weight, in equations to predict muscle weights and proportions increased prediction accuracies to similar values as those estimated for fat traits, but increased confounding between predictions of different tissues. Derived prediction equations were validated on data from another 32 heifers and 48 steers, relating ultrasound-predicted weights to carcass tissue weights predicted from fore-rib sample joint dissections. Prediction accuracies (R2) of between 0.52 and 0.64 were achieved for fat and muscle weights and fat proportion in the carcass side, when the model included post-finishing measurements, butwere lower (0.29-0.52) using only pre-finishingmeasurements. Predictions of muscle proportions and conformation classeswere of poor accuracy, regardless of themodel used.
© 2010 Elsevier B.V. All rights reserved. MenosABSTRACT.- Ultrasound tissue depths, similar to those measured commercially as part of UK beef genetic evaluation schemes, were measured on 52 crossbred steers and 10 heifers at the start and end of the finishing period (average age 476 and 568 days, respectively). Animals were slaughtered at commercial target weights and carcass grades, and one carcass side fully dissected. Combining live weights and ultrasound tissue depths measured both before and after finishing provided the best predictions of carcass composition. Dissected fat weights and proportions in the carcass side, the forequarter and the hindquarter were predicted with high accuracy (R2~0.8),muscle weights with moderate accuracy (R2=0.5-0.6), but muscle proportions were less accurately predicted (R2=0.23-0.49). Meat and Livestock Commission (EUROP) carcass conformation and fatness classes could also be predicted with moderate accuracy (R2=0.4 and 0.6, respectively). Fat and muscle weights in each quarter expressed as proportions of the total weight of that tissue in the carcass sidewere not predicted accurately (R2<0.4). Liveweight and ultrasound datameasured only at the start of finishing also gave good predictions of fat proportions in the carcass side and quarters (R2=0.64-0.67), andmoderate predictions of fat and muscle weights and fatness class (R2=0.38- 0.53), but lowprediction accuracies formuscle proportions and conformation classes. In comparison, liveweights and tissue depthsmeasured only at the end of... Presentar Todo |
Palabras claves : |
Beef; Carcass composition; Prediction models; Tissue distribution; Ultrasound. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 03714naa a2200313 a 4500 001 1062717 005 2022-02-01 008 2010 bl uuuu u00u1 u #d 022 $a1871-1413 024 7 $a10.1016/j.livsci.2010.03.019$2DOI 100 1 $aLAMBE, N.R. 245 $aThe prediction of carcass composition and tissue distribution in beef cattle using ultrasound scanning at the start and/or end of the finishing period.$h[electronic resource] 260 $c2010 500 $aArticle history: Received 4 September 2009; Received in revised form 26 March 2010; Accepted 31 March 2010. 520 $aABSTRACT.- Ultrasound tissue depths, similar to those measured commercially as part of UK beef genetic evaluation schemes, were measured on 52 crossbred steers and 10 heifers at the start and end of the finishing period (average age 476 and 568 days, respectively). Animals were slaughtered at commercial target weights and carcass grades, and one carcass side fully dissected. Combining live weights and ultrasound tissue depths measured both before and after finishing provided the best predictions of carcass composition. Dissected fat weights and proportions in the carcass side, the forequarter and the hindquarter were predicted with high accuracy (R2~0.8),muscle weights with moderate accuracy (R2=0.5-0.6), but muscle proportions were less accurately predicted (R2=0.23-0.49). Meat and Livestock Commission (EUROP) carcass conformation and fatness classes could also be predicted with moderate accuracy (R2=0.4 and 0.6, respectively). Fat and muscle weights in each quarter expressed as proportions of the total weight of that tissue in the carcass sidewere not predicted accurately (R2<0.4). Liveweight and ultrasound datameasured only at the start of finishing also gave good predictions of fat proportions in the carcass side and quarters (R2=0.64-0.67), andmoderate predictions of fat and muscle weights and fatness class (R2=0.38- 0.53), but lowprediction accuracies formuscle proportions and conformation classes. In comparison, liveweights and tissue depthsmeasured only at the end of finishing explained 12 to 19%more of the variation in fat weights and fatness class, but predicted muscle weight, conformation class and fat proportions with similar accuracies andmuscle proportions with similar or less accuracy. Including ultrasound fat depths, alongside muscle depth and live weight, in equations to predict muscle weights and proportions increased prediction accuracies to similar values as those estimated for fat traits, but increased confounding between predictions of different tissues. Derived prediction equations were validated on data from another 32 heifers and 48 steers, relating ultrasound-predicted weights to carcass tissue weights predicted from fore-rib sample joint dissections. Prediction accuracies (R2) of between 0.52 and 0.64 were achieved for fat and muscle weights and fat proportion in the carcass side, when the model included post-finishing measurements, butwere lower (0.29-0.52) using only pre-finishingmeasurements. Predictions of muscle proportions and conformation classeswere of poor accuracy, regardless of themodel used. © 2010 Elsevier B.V. All rights reserved. 653 $aBeef 653 $aCarcass composition 653 $aPrediction models 653 $aTissue distribution 653 $aUltrasound 700 1 $aROSS, D.W. 700 1 $aNAVAJAS, E. 700 1 $aHYSLOP, J.J. 700 1 $aPRIETO, N. 700 1 $aCRAIGIE, C. 700 1 $aBÜNGER, L. 700 1 $aSIMM, G. 700 1 $aROEHE, R. 773 $tLivestock Science, 2010, Volume 131, Issue 2-3, Pages 193-202. OPEN ACCESS. doi: http://dx.doi.org/10.1016/j.livsci.2010.03.019
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1. | | PRIETO, N.; ROSS D.W.; NAVAJAS, E.; RICHARDSON, R.I.; HYSLOP, J.J.; SIMM, G.; ROEHE, R. Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy. Animal, 2011, v.5, no.1, p. 155-165.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 2 |
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